Jake Fawkes
6 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
❓
The Questioner
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
inductive bia
(2)
causal inference
(2)
algorithmic fairness
(1)
gaussian process
(1)
distributionally robust optimization
(1)
observational study
(1)
learning algorithm
(1)
probabilistic graphical model
(1)
causal effect
(1)
fairness metric
(1)
selection bia
(1)
treatment effect
(1)
causal model
(1)
counterfactual fairness
(1)
heterogeneous treatment effect
(1)
multi-party computation
(1)
collective action
(1)
causal fairness
(1)
kernel methods
(1)
expected information gain
(1)
Papers
Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition
AISTATS 2025
The Hardness of Validating Observational Studies with Experimental Data
AISTATS 2025
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
NeurIPS 2024
The Role of Learning Algorithms in Collective Action
ICML 2024
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
ICML 2023
Selection, Ignorability and Challenges With Causal Fairness
CLeaR 2022